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Create app.py
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app.py
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import torch
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from transformers import pipeline
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pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", torch_dtype=torch.bfloat16, device_map="auto")
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instruction = """
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<|system|>
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You are a pirate chatbot who always responds with Arr!</s>
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<|user|>
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"""
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def infer(prompt):
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prompt = instruction.format(f"{prompt} </s>")
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print(f"PROMPT: {prompt}")
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outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs)
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return outputs
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gr.Interface(
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fn = infer,
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inputs = [
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gr.Textbox()
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],
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outputs = [
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gr.Textbox()
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]
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).queue().launch()
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